9 citations · 49 across the 27 of their papers we have counts for
4 papers · 1 filter
The BrowserGym Ecosystem for Web Agent Research
Thibault Le Sellier De Chezelles, Maxime Gasse, Alexandre Drouin +17
The BrowserGym ecosystem addresses the growing need for efficient evaluation and benchmarking of web agents, particularly those leveraging automation and Large Language Models (LLM…
Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes
Steven Kolawole, Lucio Dery, Jean-François Kagy +3
Structured pruning is a promising approach to create smaller, faster large language models. However, existing methods typically rely on computing the gradient via backward passes,…
VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks
Jing Yu Koh, Robert Lo, Lawrence Jang +7
Autonomous agents capable of planning, reasoning, and executing actions on the web offer a promising avenue for automating computer tasks. However, the majority of existing benchma…
Multitask Learning Can Improve Worst-Group Outcomes
Atharva Kulkarni, Lucio Dery, Amrith Setlur +3
In order to create machine learning systems that serve a variety of users well, it is vital to not only achieve high average performance but also ensure equitable outcomes across d…